Triple
T6324931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma'alot-Tarshiha |
E141838
|
entity |
| Predicate | Ma'alotMassacreVictims |
P42677
|
FINISHED |
| Object | Israeli civilians |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Israeli civilians | Statement: [Ma'alot-Tarshiha, Ma'alotMassacreVictims, Israeli civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ma'alotMassacreVictims Context triple: [Ma'alot-Tarshiha, Ma'alotMassacreVictims, Israeli civilians]
-
A.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
-
B.
numberOfMassGraves
Indicates the quantity of mass graves associated with or present at a given entity or location.
-
C.
notableMassKillingSite
chosen
Indicates that a place is recognized as a significant location where a mass killing or massacre occurred.
-
D.
memorializesVictimsFrom
Indicates that something serves as a memorial specifically honoring victims originating from a particular place or event.
-
E.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e701ec81908e5eaa0660d01a4b |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.